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Conferences and Meetings 803. Emerging Tools, Techniques and Artificial Intelligence in Hematology: Poster II

803. Emerging Tools, Techniques and Artificial Intelligence in Hematology: Poster II

Short name: updated-803. Emerging Tools, Techniques and Artificial Intelligence in Hematology: Poster II- 2023
Course start date: 01/11/2026
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A Novel Comprehensive Tumor-Informed Plasma cfDNA Assay to Monitor Minimal Residual Disease for Hematological and Solid Malignancies
Research and Evaluation of the Diagnostic Precision of an Artificial Intelligence Algorithm Using Ultrasound Images for Early Diagnosis of Arthropathy
Multi-Cancer Early Detection Test Is Sensitive and Accurate in Detecting Shared DNA Methylation Signal in a Variety of Lymphoid and Plasma Cell Neopla
Genome-Wide Methylation Sensitive Elements Demarcate Targetable Regulatory Elements for Controllable Gene Activation
Deep Learning Based Blood Abnormalities Detection As a Tool for Vexas Syndrome Screening
Identification of MYC-Driven High-Grade B-Cell Lymphoma Using Deep Learning-Based Whole Slide Image Analysis
Integrating Proteomics and Functional Genomics to Identify Targets for Improving Glucocorticoid-Based Treatment of B-Lymphoblastic Leukemia
Microfluidic Assessment of T Cell Deformability and Capillary Network Occlusion
Development of a Novel Artificial Intelligence Tool to Measure Psoas Volumes in Patients with Diffuse Large B Cell Lymphoma
Enhancing Myeloid Cancer Genomic Profiling through Comprehensive Whole Genome Sequencing Using the Isabl Gxt Heme Analytical Platform
Development of a Closed System qPCR Assay to Detect Mutations in IDH1/IDH2 in Patients with Acute Myeloid Leukemia (AML)
Routine Whole Genome Sequencing for All Children with Hematological Malignancies Defines a New Standard of Care - Data of the First 152 Cases from the
Radchip: A Laminin-Lined Red Blood Cell (RBC) Adhesion Device for Functional Characterization and Clinical Evaluation of Sickle RBCs at Steady-State
Flowrna in the Diagnosis of EBV-Related Lymphoproliferative Disease
Real-World Demonstration of AI to Clinical Cytometry for Rapid and Reliable Decision Support and Automated Reporting of Blood Cancers Including B-NHL
Automated Preselection of Regions of Interest By Deep Learning Facilitates Rapid Whole Slide Image Analysis of Bone Marrow Smears
Artificial Intelligence (AI)-Predicted Medical Diagnosis in Suspected Mature B-Cell Neoplasms Based on Flow Cytometric Raw Data
Machine Learning Model for Predicting Mortality Risk in Pediatric Cerebral Venous Sinus Thrombosis
Utility of Next-Generation Sequencing in the Detection of RNA Fusion Genes in Myeloid Malignancies in Singapore
Multi-Center Clinical Validation of a Mass Spectrometry Immunoassay for the Diagnosis and Monitoring of Multiple Myeloma and Associated Disorders
Automated Peripheral Smear Recognition and Classification of LGL Leukemia Using Machine Learning
Comparison of Devices That Measure Sickle Red Cell Deformability
Analytical and Clinical Validation of Duoseq, a Novel Assay for Rapid, on-Site Clinical DNA and RNA Sequencing of Hematologic Malignancies

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